AI in Medical Imaging Market
完整報告名稱與涵蓋範圍
AI in Medical Imaging Market Size, Share & Trends Analysis Report, By Modality (Computed Tomography, Magnetic Resonance Imaging, X-ray, Ultrasound, Mammography, Nuclear Imaging), By Application (Neurology, Cardiology, Oncology, Pulmonology, Musculoskeletal, Other Applications), By Component, By End User, By Region, and Segment Forecasts, 2026-2035
報告摘要
Artificial intelligence in medical imaging encompasses software that detects, triages, quantifies and characterises findings across CT, MRI, X-ray, ultrasound, mammography and nuclear imaging, along with workflow orchestration that prioritises worklists, routes critical alerts and automates measurements and reporting. The market covers regulator-cleared clinical algorithms, imaging-OEM embedded intelligence, platform marketplaces that distribute third-party models, and associated integration and monitoring services.
The core demand driver is the widening gap between imaging volume and radiologist supply, which turns triage and automation from novelty into operational necessity; stroke networks illustrate the mechanism, where large vessel occlusion detection software compresses time to thrombectomy and has attracted dedicated reimbursement in the United States. A deep pipeline of cleared algorithms now spans lung nodule detection, coronary plaque quantification, breast screening support and fracture detection, and buyers are shifting from single point solutions toward platform contracts that bundle many models under one integration. Foundation models trained across modalities are beginning to consolidate development economics, while EU AI Act obligations and post-market performance monitoring raise the compliance bar in ways that favour well-capitalised vendors.
North America leads on reimbursement precedents and consolidated radiology groups, Europe advances through national breast screening programmes adopting AI reading support, and Asia Pacific scales rapidly where chest X-ray screening and health-system digitisation intersect, notably in India, China and South Korea. The vendor landscape pairs imaging equipment majors with a crowded field of specialised developers, and consolidation is actively underway.
The InsightAce study delivers revenue forecasts in US$ across all segments and regions for 2026-2035, segment-level trend analysis, competitive landscape assessment and company profiling.
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目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Medical Imaging Market Snapshot
Chapter 4. Global AI in Medical Imaging Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Market Drivers
4.3. Market Challenges
4.4. Emerging Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis - Porter's Five Forces Analysis
4.7. Competitive Landscape and Market Positioning
4.8. Market Opportunity Analysis
Chapter 5. Market Segmentation 1: By Modality Estimates & Trend Analysis
5.1. Modality & Market Share, 2026 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Modality:
5.2.1. Computed Tomography
5.2.2. Magnetic Resonance Imaging
5.2.3. X-ray
5.2.4. Ultrasound
5.2.5. Mammography
5.2.6. Nuclear Imaging
Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. Application & Market Share, 2026 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application:
6.2.1. Neurology
6.2.2. Cardiology
6.2.3. Oncology
6.2.4. Pulmonology
6.2.5. Musculoskeletal
6.2.6. Other Applications
Chapter 7. Market Segmentation 3: By Component Estimates & Trend Analysis
7.1. Component & Market Share, 2026 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Component:
7.2.1. Software
7.2.2. Services
Chapter 8. Market Segmentation 4: By End User Estimates & Trend Analysis
8.1. End User & Market Share, 2026 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by End User:
8.2.1. Hospitals
8.2.2. Diagnostic Imaging Centers
8.2.3. Teleradiology Providers
Chapter 9. AI in Medical Imaging Market: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. United States
9.1.2. Canada
9.2. Europe
9.2.1. Germany
9.2.2. United Kingdom
9.2.3. France
9.2.4. Italy
9.2.5. Spain
9.2.6. Rest of Europe
9.3. Asia Pacific
9.3.1. China
9.3.2. Japan
9.3.3. India
9.3.4. South Korea
9.3.5. Australia
9.3.6. Southeast Asia
9.3.7. Rest of Asia Pacific
9.4. Latin America
9.4.1. Brazil
9.4.2. Mexico
9.4.3. Rest of Latin America
9.5. Middle East & Africa
9.5.1. GCC Countries
9.5.2. South Africa
9.5.3. Rest of Middle East & Africa
Chapter 10. Competitive Landscape
10.1. Company Market Positioning Analysis
10.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A)
Chapter 11. Company Profiles
11.1. Aidoc
11.2. Viz.ai
11.3. HeartFlow
11.4. Lunit
11.5. Qure.ai
11.6. Annalise.ai (Harrison.ai)
11.7. RapidAI
11.8. Cleerly
11.9. iCAD
11.10. Gleamer
11.11. GE HealthCare
11.12. Siemens Healthineers
11.13. Koninklijke Philips
11.14. Canon Medical Systems
11.15. Fujifilm Healthcare
11.16. Microsoft (Nuance)
圖表清單 List of Tables & Figures
Table 1. Global AI in Medical Imaging Revenue Forecast by Modality, 2026-2035 (US$ Mn)
Figure 1. AI in Medical Imaging Solution Landscape: Detection, Triage, Quantification and Workflow
Table 2. Global AI in Medical Imaging Revenue Forecast by Application, 2026-2035 (US$ Mn)
Figure 2. Global AI in Medical Imaging Share by Modality, 2026 & 2035
Table 3. Global AI in Medical Imaging Revenue Forecast by Component, 2026-2035 (US$ Mn)
Figure 3. Regulatory Clearances of Imaging AI Algorithms by Clinical Domain
Table 4. Global AI in Medical Imaging Revenue Forecast by End User, 2026-2035 (US$ Mn)
Figure 4. Point Solution versus Platform Procurement Models in Radiology AI
Table 5. North America AI in Medical Imaging Revenue by Country, 2026-2035 (US$ Mn)
Figure 5. Reimbursement Precedents for Imaging AI and Their Revenue Implications
Table 6. Europe AI in Medical Imaging Revenue by Country, 2026-2035 (US$ Mn)
Figure 6. Asia Pacific AI in Medical Imaging Growth Opportunity Analysis
Table 7. Asia Pacific AI in Medical Imaging Revenue by Country, 2026-2035 (US$ Mn)
Figure 7. Competitive Positioning of Imaging OEMs and Specialist AI Developers
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